Measurement Systems Analysis (MSA)
Overview
As well as being one of the core components of the Six Sigma approach, Measurement Systems Analysis (MSA) is also a key element of ISO/TS16949, where it is required to be used within the Product Realisation process requiring suppliers to conduct MSA.
Many problems encountered with Statistical Process Control (SPC) and Design of Experiments (DOE) are caused by problems with measurement systems where the process of obtaining measurements and data may have variation and produce defects. Measurement Systems Analysis evaluates the test method, measuring instruments, and the entire process of obtaining measurements to ensure the integrity of data used for analysis (usually quality analysis) and to understand the implications of measurement error for decisions made about a product or process.
Course Objectives
This interactive and practical course will provide delegates with a basic knowledge of the principles of MSA and the methodologies for performance of measurement systems studies with respect to bias, linearity and stability. Our course is highly practical and avoids detailed knowledge or discussion of statistics.
Key Skills / Learning Objectives
Through the combination of interactive tutorials and workshops, our course will enable the delegates to:
- Use MSA to determine the suitability of measurement systems.
- Perform a Repeatability and Reproducibility (R&R) study.
- Interpret the results in the context of the process variation and product acceptance criteria.
- Use the data to improve the effectiveness of the measurement system.
Course Outline
- Concepts of MSA
- Measurement system elements and their contribution to measurement variation
- Terminology and concepts (bias, linearity, stability, repeatability and reproducibility)
- The existence and measurement of variation
- Variation
- Normal Distribution
- Accuracy and Precision
- Measures of variation (mean, standard deviation and variance)
- MSA Studies
- Bias (overview and methodology)
- Linearity (overview and methodology)
- Stability studies (overview and methodology)
- Measurement Uncertainty (overview)
- Measurement system analysis and studies (variable and attribute)
- Repeatability and Reproducibility
- Performance of a gauge R&R study
- Interpretation and use of study data (from example data provided)
- Using data for cost-saving (calibration intervals, number of measurements taken etc)
Additional Core Tools relating to the Automotive industry include: Advanced Product Quality Planning (APQP) and Production Part Approval Process (PPAP); Failure Mode & Effects Analysis (FMEA); Statistical Process Control and Measurement Systems Analysis (SPC/MSA)
Who Should Attend?
- Quality professionals, Six Sigma change agents, lean practitioners and support staff who require a basic understanding of Measurement system evaluation techniques and the potential benefits of understanding measurement system limitations.
- Personnel with responsibility for design / process engineering who should be requiring MSA studies to help them specify tolerances, production processes and acceptance criteria, and need to understand the information when it is presented.
- Those who are required to support MSA studies, but are not directly responsible for the analysis.
- In house "experts" who need to plan and execute MSA studies and will become the "champions" for the appropriate use of MSA to drive continuous improvement and influence senior management.
Booking and Course Fees
Fees include:
- Delegate workbook, including reference information
- Training provided by qualified and experienced tutors with extensive practical management auditing experience across a variety of manufacture and service industries
- Certificate verifying attendance and completion of course
This course is for delivery in-house only. Offering better value for money, in-house training can be customised and designed to meet specific individual and company needs.
Please Contact us to discuss your in-house requirements
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